





'''simple docstring'''






import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests



def        UpperCamelCase__		(						__magic_name__  :   str		,       __magic_name__  :   List[Any]=None      )				->			Union[str, Any]:
 '''simple docstring'''






 snake_case__     :					str    =  None
 if token is not None:
  snake_case__     :					str    =  {"""Accept""": """application/vnd.github+json""", """Authorization""": f"Bearer {token}"}

 snake_case__     :					List[Any]    =  f"https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"
 snake_case__     :					str    =  requests.get(__magic_name__		,       headers=__magic_name__      ).json()
 snake_case__     :					str    =  {}

 try:
  job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}      )
  snake_case__     :					List[Any]    =  math.ceil((result["""total_count"""] - 1_00) / 1_00      )

  for i in range(__magic_name__      ):
   snake_case__     :					Tuple    =  requests.get(url + f"&page={i + 2}"		,       headers=__magic_name__      ).json()
   job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}      )

  return job_links
 except Exception:
  print(f"Unknown error, could not fetch links:\n{traceback.format_exc()}"      )

 return {}



def        UpperCamelCase__		(						__magic_name__  :   Optional[int]		,       __magic_name__  :   Optional[Any]=None      )				->			List[str]:
 '''simple docstring'''






 snake_case__     :					Optional[Any]    =  None
 if token is not None:
  snake_case__     :					Any    =  {"""Accept""": """application/vnd.github+json""", """Authorization""": f"Bearer {token}"}

 snake_case__     :					Dict    =  f"https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"
 snake_case__     :					Union[str, Any]    =  requests.get(__magic_name__		,       headers=__magic_name__      ).json()
 snake_case__     :					Dict    =  {}

 try:
  artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}      )
  snake_case__     :					List[Any]    =  math.ceil((result["""total_count"""] - 1_00) / 1_00      )

  for i in range(__magic_name__      ):
   snake_case__     :					Dict    =  requests.get(url + f"&page={i + 2}"		,       headers=__magic_name__      ).json()
   artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}      )

  return artifacts
 except Exception:
  print(f"Unknown error, could not fetch links:\n{traceback.format_exc()}"      )

 return {}



def        UpperCamelCase__		(						__magic_name__  :   Optional[int]		,       __magic_name__  :   Optional[Any]		,       __magic_name__  :   Optional[int]		,       __magic_name__  :   Dict      )				->			Dict:
 '''simple docstring'''






 snake_case__     :					Optional[Any]    =  None
 if token is not None:
  snake_case__     :					Dict    =  {"""Accept""": """application/vnd.github+json""", """Authorization""": f"Bearer {token}"}

 snake_case__     :					str    =  requests.get(__magic_name__		,       headers=__magic_name__		,       allow_redirects=__magic_name__      )
 snake_case__     :					Any    =  result.headers["""Location"""]
 snake_case__     :					Tuple    =  requests.get(__magic_name__		,       allow_redirects=__magic_name__      )
 snake_case__     :					int    =  os.path.join(__magic_name__		,       f"{artifact_name}.zip"      )
 with open(__magic_name__		,       """wb"""      ) as fp:
  fp.write(response.content      )



def        UpperCamelCase__		(						__magic_name__  :   List[Any]		,       __magic_name__  :   str=None      )				->			Union[str, Any]:
 '''simple docstring'''






 snake_case__     :					Any    =  []
 snake_case__     :					Union[str, Any]    =  []
 snake_case__     :					Any    =  None

 with zipfile.ZipFile(__magic_name__      ) as z:
  for filename in z.namelist():
   if not os.path.isdir(__magic_name__      ):
    # read the file
    if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
     with z.open(__magic_name__      ) as f:
      for line in f:
       snake_case__     :					Any    =  line.decode("""UTF-8"""      ).strip()
       if filename == "failures_line.txt":
        try:
         # `error_line` is the place where `error` occurs
         snake_case__     :					str    =  line[: line.index(""": """      )]
         snake_case__     :					Optional[int]    =  line[line.index(""": """      ) + len(""": """      ) :]
         errors.append([error_line, error]      )
        except Exception:
         # skip un-related lines
         pass
       elif filename == "summary_short.txt" and line.startswith("""FAILED """      ):
        # `test` is the test method that failed
        snake_case__     :					Dict    =  line[len("""FAILED """      ) :]
        failed_tests.append(__magic_name__      )
       elif filename == "job_name.txt":
        snake_case__     :					Optional[Any]    =  line

 if len(__magic_name__      ) != len(__magic_name__      ):
  raise ValueError(
      f"`errors` and `failed_tests` should have the same number of elements. Got {len(__magic_name__      )} for `errors` "
      f"and {len(__magic_name__      )} for `failed_tests` instead. The test reports in {artifact_zip_path} have some"
      """ problem."""      )

 snake_case__     :					Optional[Any]    =  None
 if job_name and job_links:
  snake_case__     :					Optional[Any]    =  job_links.get(__magic_name__		,       __magic_name__      )

 # A list with elements of the form (line of error, error, failed test)
 snake_case__     :					List[Any]    =  [x + [y] + [job_link] for x, y in zip(__magic_name__		,       __magic_name__      )]

 return result



def        UpperCamelCase__		(						__magic_name__  :   int		,       __magic_name__  :   Union[str, Any]=None      )				->			Union[str, Any]:
 '''simple docstring'''






 snake_case__     :					str    =  []

 snake_case__     :					Dict    =  [os.path.join(__magic_name__		,       __magic_name__      ) for p in os.listdir(__magic_name__      ) if p.endswith(""".zip"""      )]
 for p in paths:
  errors.extend(get_errors_from_single_artifact(__magic_name__		,       job_links=__magic_name__      )      )

 return errors



def        UpperCamelCase__		(						__magic_name__  :   Optional[Any]		,       __magic_name__  :   str=None      )				->			List[Any]:
 '''simple docstring'''






 snake_case__     :					Any    =  Counter()
 counter.update([x[1] for x in logs]      )
 snake_case__     :					Dict    =  counter.most_common()
 snake_case__     :					Any    =  {}
 for error, count in counts:
  if error_filter is None or error not in error_filter:
   snake_case__     :					int    =  {"""count""": count, """failed_tests""": [(x[2], x[0]) for x in logs if x[1] == error]}

 snake_case__     :					Union[str, Any]    =  dict(sorted(r.items()		,       key=lambda __magic_name__      : item[1]["count"]		,       reverse=__magic_name__      )      )
 return r



def        UpperCamelCase__		(						__magic_name__  :   List[Any]      )				->			List[Any]:
 '''simple docstring'''






 snake_case__     :					str    =  test.split("""::"""      )[0]
 if test.startswith("""tests/models/"""      ):
  snake_case__     :					Tuple    =  test.split("""/"""      )[2]
 else:
  snake_case__     :					Any    =  None

 return test



def        UpperCamelCase__		(						__magic_name__  :   str		,       __magic_name__  :   Union[str, Any]=None      )				->			List[str]:
 '''simple docstring'''






 snake_case__     :					List[str]    =  [(x[0], x[1], get_model(x[2]      )) for x in logs]
 snake_case__     :					List[Any]    =  [x for x in logs if x[2] is not None]
 snake_case__     :					Any    =  {x[2] for x in logs}

 snake_case__     :					Optional[Any]    =  {}
 for test in tests:
  snake_case__     :					str    =  Counter()
  # count by errors in `test`
  counter.update([x[1] for x in logs if x[2] == test]      )
  snake_case__     :					Optional[int]    =  counter.most_common()
  snake_case__     :					Optional[int]    =  {error: count for error, count in counts if (error_filter is None or error not in error_filter)}
  snake_case__     :					int    =  sum(error_counts.values()      )
  if n_errors > 0:
   snake_case__     :					str    =  {"""count""": n_errors, """errors""": error_counts}

 snake_case__     :					Union[str, Any]    =  dict(sorted(r.items()		,       key=lambda __magic_name__      : item[1]["count"]		,       reverse=__magic_name__      )      )
 return r



def        UpperCamelCase__		(						__magic_name__  :   int      )				->			Optional[int]:
 '''simple docstring'''






 snake_case__     :					Optional[Any]    =  """| no. | error | status |"""
 snake_case__     :					int    =  """|-:|:-|:-|"""
 snake_case__     :					int    =  [header, sep]
 for error in reduced_by_error:
  snake_case__     :					Union[str, Any]    =  reduced_by_error[error]["""count"""]
  snake_case__     :					Dict    =  f"| {count} | {error[:1_00]} |  |"
  lines.append(__magic_name__      )

 return "\n".join(__magic_name__      )



def        UpperCamelCase__		(						__magic_name__  :   Dict      )				->			List[Any]:
 '''simple docstring'''






 snake_case__     :					List[Any]    =  """| model | no. of errors | major error | count |"""
 snake_case__     :					Optional[int]    =  """|-:|-:|-:|-:|"""
 snake_case__     :					Dict    =  [header, sep]
 for model in reduced_by_model:
  snake_case__     :					Tuple    =  reduced_by_model[model]["""count"""]
  snake_case__  ,							snake_case__     :					Tuple    =  list(reduced_by_model[model]["""errors"""].items()      )[0]
  snake_case__     :					Optional[int]    =  f"| {model} | {count} | {error[:60]} | {_count} |"
  lines.append(__magic_name__      )

 return "\n".join(__magic_name__      )


if __name__ == "__main__":
    A_		:  Any		 =						argparse.ArgumentParser()
    # Required parameters
    parser.add_argument("--workflow_run_id", type=str, required=True, help="A GitHub Actions workflow run id.")
    parser.add_argument(
        "--output_dir",
        type=str,
        required=True,
        help="Where to store the downloaded artifacts and other result files.",
    )
    parser.add_argument("--token", default=None, type=str, help="A token that has actions:read permission.")
    A_		:  int		 =						parser.parse_args()

    os.makedirs(args.output_dir, exist_ok=True)

    A_		:  Optional[int]		 =						get_job_links(args.workflow_run_id, token=args.token)
    A_		:  Optional[Any]		 =						{}
    # To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
    # For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
    if _job_links:
        for k, v in _job_links.items():
            # This is how GitHub actions combine job names.
            if " / " in k:
                A_		:  int		 =						k.find(" / ")
                A_		:  List[Any]		 =						k[index + len(" / ") :]
            A_		:  List[str]		 =						v
    with open(os.path.join(args.output_dir, "job_links.json"), "w", encoding="UTF-8") as fp:
        json.dump(job_links, fp, ensure_ascii=False, indent=4)

    A_		:  int		 =						get_artifacts_links(args.workflow_run_id, token=args.token)
    with open(os.path.join(args.output_dir, "artifacts.json"), "w", encoding="UTF-8") as fp:
        json.dump(artifacts, fp, ensure_ascii=False, indent=4)

    for idx, (name, url) in enumerate(artifacts.items()):
        download_artifact(name, url, args.output_dir, args.token)
        # Be gentle to GitHub
        time.sleep(1)

    A_		:  str		 =						get_all_errors(args.output_dir, job_links=job_links)

    # `e[1]` is the error
    A_		:  List[str]		 =						Counter()
    counter.update([e[1] for e in errors])

    # print the top 30 most common test errors
    A_		:  Any		 =						counter.most_common(30)
    for item in most_common:
        print(item)

    with open(os.path.join(args.output_dir, "errors.json"), "w", encoding="UTF-8") as fp:
        json.dump(errors, fp, ensure_ascii=False, indent=4)

    A_		:  Any		 =						reduce_by_error(errors)
    A_		:  Union[str, Any]		 =						reduce_by_model(errors)

    A_		:  Any		 =						make_github_table(reduced_by_error)
    A_		:  Optional[Any]		 =						make_github_table_per_model(reduced_by_model)

    with open(os.path.join(args.output_dir, "reduced_by_error.txt"), "w", encoding="UTF-8") as fp:
        fp.write(sa)
    with open(os.path.join(args.output_dir, "reduced_by_model.txt"), "w", encoding="UTF-8") as fp:
        fp.write(sa)







from ...configuration_utils import PretrainedConfig
from ...utils import logging


__snake_case				:      Any   		=			logging.get_logger(__name__)

__snake_case				:      Union[str, Any]   		=			{
    """microsoft/cvt-13""": """https://huggingface.co/microsoft/cvt-13/resolve/main/config.json""",
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}



class        A__(a_							):
						"""simple docstring"""






						_A    :				Union[str, Any]       					=			'''cvt'''





						def __init__(    self  ,      _lowercase=3  ,      _lowercase=[7, 3, 3]  ,      _lowercase=[4, 2, 2]  ,      _lowercase=[2, 1, 1]  ,      _lowercase=[64, 192, 384]  ,      _lowercase=[1, 3, 6]  ,      _lowercase=[1, 2, 10]  ,      _lowercase=[4.0, 4.0, 4.0]  ,      _lowercase=[0.0, 0.0, 0.0]  ,      _lowercase=[0.0, 0.0, 0.0]  ,      _lowercase=[0.0, 0.0, 0.1]  ,      _lowercase=[True, True, True]  ,      _lowercase=[False, False, True]  ,      _lowercase=["dw_bn", "dw_bn", "dw_bn"]  ,      _lowercase=[3, 3, 3]  ,      _lowercase=[1, 1, 1]  ,      _lowercase=[2, 2, 2]  ,      _lowercase=[1, 1, 1]  ,      _lowercase=[1, 1, 1]  ,      _lowercase=0.0_2  ,      _lowercase=1e-12  ,      **_lowercase  ,      )     -> Tuple:
									super().__init__(**_lowercase    )
									a_						:						str 							= num_channels
									a_						:						Optional[int] 							= patch_sizes
									a_						:						Dict 							= patch_stride
									a_						:						int 							= patch_padding
									a_						:						int 							= embed_dim
									a_						:						Tuple 							= num_heads
									a_						:						Optional[Any] 							= depth
									a_						:						str 							= mlp_ratio
									a_						:						Optional[int] 							= attention_drop_rate
									a_						:						int 							= drop_rate
									a_						:						List[Any] 							= drop_path_rate
									a_						:						List[Any] 							= qkv_bias
									a_						:						Dict 							= cls_token
									a_						:						Union[str, Any] 							= qkv_projection_method
									a_						:						List[Any] 							= kernel_qkv
									a_						:						Optional[Any] 							= padding_kv
									a_						:						Any 							= stride_kv
									a_						:						Dict 							= padding_q
									a_						:						Optional[int] 							= stride_q
									a_						:						Tuple 							= initializer_range
									a_						:						int 							= layer_norm_eps


